Application of a Differential Evolution Algorithm in the Design of Public Lighting Installations Maximizing Energy Efficiency Rabaza Castillo, Ovidio Gómez-Lorente, Daniel Pozo Molina, Antonio Manuel Pérez Ocón, Francisco De Asís Differential evolution algorithm Energy efficiency Optimization Public lighting This article presents a differential evolution (DE) algorithm that can be used to plan public lighting for streets, roadways, and freeways and maximize the energy efficiency of the installation. The algorithm was applied to a model based on new relationships between the energy efficiency of street lighting systems and geometric parameters such as street width, luminaire height, and distance between poles. These relationships were derived from the regression analysis of a large sample of outputs. The results of this algorithm consisted of the luminaire arrangement (onesided, two-sided staggered, and two-sided coupled), luminaire height, luminaire type, and pole spacing for the most energy-efficient installation. The input of the algorithm was the lighting class or illuminance level, street width, as well as various other luminaire parameters. When these results were compared with those of DIALux, the performance of this new method was found to be extremely satisfactory. Furthermore, the constraints applied guaranteed compliance with the recommendations of the International Commission on Illumination. 2025-01-24T13:53:04Z 2025-01-24T13:53:04Z 2020 journal article Rabaza, O., Gómez-Lorente, D., Pozo, A. M., & Pérez-Ocón, F. Application of a Differential Evolution Algorithm in the Design of Public Lighting Installations Maximizing Energy Efficiency. LEUKOS, 16(3), 217–227 (2020) https://hdl.handle.net/10481/100330 https://doi.org/10.1080/15502724.2019.1568255 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional TAYLOR & FRANCIS INC530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106